Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies

Sustainable Developments by Artificial Intelligence and Machine Learning  for Renewable Energies analyzes the changes in this energy generation  shift, including issues of grid stability with variability in renewable  energy vs. traditional baseload energy generation. Providing solutions  to current critical environmental, economic and social issues, this book  comprises various complex nonlinear interactions among different  parameters to drive the integration of renewable energy into the grid.  It considers how artificial intelligence and machine learning techniques  are being developed to produce more reliable energy generation to  optimize system performance and provide sustainable development.

As  the use of artificial intelligence to revolutionize the energy market  and harness the potential of renewable energy is essential, this  reference provides practical guidance on the application of renewable  energy with AI, along with machine learning techniques and capabilities  in design, modeling and for forecasting performance predictions for the  optimization of renewable energy systems. It is targeted at researchers,  academicians and industry professionals working in the field of  renewable energy, AI, machine learning, grid Stability and energy  generation.